June 12, 2019
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a system that can predict a perso's trajectory. The tool could allow “robots that typically freeze in the face of anything even vaguely resembling a person walking in their path to continue to operate and move around the flow of human foot traffic."
Popular Mechanics reporter Jennifer Leman writes that MIT researchers have developed a new technique that uses radio waves to enable neural networks to spot activity through walls. The technology is low resolution and cannot identify faces and has been “proposed as a more secure alternative to visible light cameras, which can easily pick up a number of details.”
Writing for The Wall Street Journal about mixing AI into cooking, Jaewon Kang highlights how MIT researchers developed an AI system that generates new pizza recipes. “MIT asked a chef to add final touches to these combinations and make sure they tasted good,” Kang notes. The researchers believe “collaborations between humans and algorithms generate the most creative results.”
Boston Globe reporter John Ellement spotlights the work of John Goodenough, a longtime researcher at MIT Lincoln Laboratory who received the 2019 Nobel Prize in Chemistry for his work on lithium-ion batteries. “During his time at the Lab in the early 1950s, Goodenough was a major factor in the creation of a new type of RAM,” Ellement notes.
Writing for The Wall Street Journal David A. Shaywitz reviews Principal Research Scientist Andrew McAfee’s new book, “More From Less.” Shaywitz writes that McAfee “argues that when the ‘fuel of interest’ is joined with the ‘fire of genius’—that is, when incentive and talent combine—seemingly impossible things can happen, even environmentally friendly ones.”